Triple
T9974446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Los Angeles County |
E196290
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Acton
Acton is a small unincorporated community in northern Los Angeles County, California, known for its rural, semi-desert setting and equestrian lifestyle.
|
E836011
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Acton | Statement: [Northern Los Angeles County, hasCity, Acton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acton Context triple: [Northern Los Angeles County, hasCity, Acton]
-
A.
Acton
Acton is a suburban town in Middlesex County, Massachusetts, known for its residential communities, conservation land, and commuter access to Boston.
-
B.
Acton
Acton is an inner suburb of Canberra, Australia, known for housing major national institutions such as the Australian National University and several key cultural and research facilities.
-
C.
Acton
Acton is a village and civil parish located in the county of Suffolk in eastern England.
-
D.
Acton
Acton is a largely residential and commercial district in the London Borough of Ealing, known for its diverse community and good transport links into central London.
-
E.
Acton
Acton is a small community within the town of Halton Hills in Ontario, Canada, historically known for its leather and tanning industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Acton Triple: [Northern Los Angeles County, hasCity, Acton]
Generated description
Acton is a small unincorporated community in northern Los Angeles County, California, known for its rural, semi-desert setting and equestrian lifestyle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Acton Target entity description: Acton is a small unincorporated community in northern Los Angeles County, California, known for its rural, semi-desert setting and equestrian lifestyle.
-
A.
Acton
Acton is a suburban town in Middlesex County, Massachusetts, known for its residential communities, conservation land, and commuter access to Boston.
-
B.
Acton
Acton is a small community within the town of Halton Hills in Ontario, Canada, historically known for its leather and tanning industry.
-
C.
Acton
Acton is a largely residential and commercial district in the London Borough of Ealing, known for its diverse community and good transport links into central London.
-
D.
Acton
Acton is a village and civil parish located in the county of Suffolk in eastern England.
-
E.
Acton
Acton is an inner suburb of Canberra, Australia, known for housing major national institutions such as the Australian National University and several key cultural and research facilities.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb849da448190b826cb8fbf2eeb89 |
completed | April 2, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a08a60c81909be30a442787328b |
completed | April 5, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_69d26b6d52e8819082fed0bfdaf48e4c |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c3d5f2081909bf1a1565b66eca9 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:48 p.m.